Abstract:Antimicrobial peptides (AMPs) have gained significant attention in the field of drug discovery due to their potential therapeutic applications in the fight against antimicrobial resistance. Since rationally designing AMPs is notoriously difficult due to the vast number of possible peptide sequences and their complex structure-activity relationship landscape, this problem is ideally suited for machine-learning models, which can be trained from available data to predict new sequences with a desired activity prof… Show more
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